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一种散乱点云近离群点的识别算法

消耗积分:1 | 格式:rar | 大小:0.73 MB | 2018-01-12

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  针对原始曲面变化度的局部离群系数( SVLOF)无法有效滤除三维实体的棱边或棱角处的离群点问题,提出了一种散乱点云近离群点的滤除算法。该算法首先将SVLOF定义在类K邻域上,并将SVLOF的定义内容进行了扩展,使其既能滤除平滑曲面上的离群点,又能滤除三维实体的棱边或棱角点处的离群点,同时仍然保留SVLOF原有的足够宽泛的阈值选取空间。仿真数据和实际数据的实验结果均表明,在效率基本保持不变的情况下,所提算法能比原始SVLOF算法更有效地检测出距离主体点云近的离群点。

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hole1007 2022-08-23
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